Exploitation of Te-Tm Scattering Data for Microwave Imaging Through the Multi-Scaling Reconstruction Strategy

Poli, Lorenzo; Rocca, Paolo

doi:10.2528/pier09101105

Cited by 6 publications

(4 citation statements)

References 51 publications

(47 reference statements)

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“…in 2005 developed another innovative stochastic algorithm called the particle swarm optimizer (PSO) for the solution of microwave inverse scattering problem [ 90 ]. In 2011, this group tried to solve the 2D inverse scattering problem by probing the unknown scenarios with TE and TM waves with multi-zooming approach [ 91 ]. Besides those literatures, there is another excellent technical article published in 2006 by Langenberg et al ., who tried to unify the theory of electromagnetic, acoustic and elastic wave fields for imaging purposes with examples of bridge NDE [ 92 ].…”

Section: Techniques Based On Different Electromagnetic Frequenciesmentioning

confidence: 99%

Electromagnetic Imaging Methods for Nondestructive Evaluation Applications

Deng

Liu

2011

Sensors

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Electromagnetic nondestructive tests are important and widely used within the field of nondestructive evaluation (NDE). The recent advances in sensing technology, hardware and software development dedicated to imaging and image processing, and material sciences have greatly expanded the application fields, sophisticated the systems design and made the potential of electromagnetic NDE imaging seemingly unlimited. This review provides a comprehensive summary of research works on electromagnetic imaging methods for NDE applications, followed by the summary and discussions on future directions.

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Section: Techniques Based On Different Electromagnetic Frequenciesmentioning

confidence: 99%

Electromagnetic Imaging Methods for Nondestructive Evaluation Applications

Deng

Liu

2011

Sensors

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“…The analysis of scattering from an arbitrary set of body-of-revolution (BOR) objects is crucial in many recent civil and military applications (e.g., antenna systems for wireless communication [1,2] or objects identification in radar systems [3][4][5]). This creates the demand for highly efficient and accurate analysis techniques of this phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Finite-Difference/Mode-Matching Method for Analysis of Scattering From Arbitrary Configuration of Rotationally-Symmetrical Posts

Kusiek¹,

Mazur²

2010

PIER

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Abstract-In this paper, the hybrid approach to the analysis of electromagnetic wave scattering from arbitrary configuration of bodyof-revolution (BOR) posts is presented. The proposed approach is based on the representation of each scatterer or set of scatterers by an effective sphere with the known boundary conditions defined by transmission matrix. In the analysis of each single axiallysymmetrical post with irregular shape we utilize the finite-difference frequency-domain/mode-matching technique (FDFD/MM). Then the scattering parameters of investigated set of posts are obtained utilizing the analytical iterative scattering procedure (ISP). This work is an extension of our previously published results where the proposed technique was defined in cylindrical coordinates and was limited to configurations of infinitely long parallel cylinders with arbitrary crosssection. In this paper we extend this method by formulating it in spherical coordinates. This allows us to significantly increase the versatility of the developed approach and in result to include in the analysis the sets of arbitrary located and oriented rotationallysymmetrical posts. The accuracy and efficiency of the proposed technique are discussed. The presented numerical results are verified with the ones obtained from commercial software.

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“…In order to avoid nonuniqueness and instability as well as to prevent the retrieval of false solutions [28], several inversion strategies have been proposed based on (a) a suitable definition of the integral equations either in exact [29,30] or approximated [31][32][33][34][35] forms to model the scattering phenomena, (b) the exploitation of the available a-priori information on some features of the scenario/scatterers under test [15,[36][37][38][39] or/and the knowledge of input-output samples of data and reference solutions [40][41][42] and/or the information acquired during the inversion process [43][44][45][46][47], and (c) the use of suitable global optimization strategies [48][49][50][51][52][53][54][55]. Whatever the approach, inversion methods generally consider an optimization step aimed at minimizing/maximizing a suitably defined data-mismatch cost function through gradient or evolutionarybased algorithms with still not fully resolved drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging Within the Interval Analysis Framework

Rocca¹,

Carlin²,

Manica³

et al. 2013

PIER

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Abstract-An approach based on the use of the arithmetic of intervals and Interval Analysis for the solution of inverse scattering problems is presented and assessed. By exploiting the property of the Interval Analysis to find the global minimum of a functional in a n-dimensional space, the proposed approach adopts a branch and bound process to discard the regions of the solutions space not containing the global solution, while keeping those where a feasible solution is expected until a suitable converge criterion is reached. A representative set of results concerned with the reconstruction of circular dielectric objects within the first-order Born approximation are reported and discussed to show potentialities and current limitations of the proposed approach.

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Exploitation of Te-Tm Scattering Data for Microwave Imaging Through the Multi-Scaling Reconstruction Strategy

Cited by 6 publications

References 51 publications

Electromagnetic Imaging Methods for Nondestructive Evaluation Applications

Electromagnetic Imaging Methods for Nondestructive Evaluation Applications

Hybrid Finite-Difference/Mode-Matching Method for Analysis of Scattering From Arbitrary Configuration of Rotationally-Symmetrical Posts

Microwave Imaging Within the Interval Analysis Framework

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